Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
- Qwen3.8 27BAlibabaRemove
- Muse Spark 1.3MetaRemove
- DeepSeek R1 SearchingDeepSeekRemove
- DeepSeek V4.1 FlashDeepSeekRemove
4 is the maximum. Remove one to add another.
| Attribute | Qwen3.8 27Bqwen3.8-27b | Muse Spark 1.3muse-spark-1.3 | DeepSeek R1 Searchingdeepseek-r1-searching | DeepSeek V4.1 Flashdeepseek-v4.1-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.45 / 1M | $1.25 / 1M | $5.60 / 1M | $0.30 / 1M |
| Output | $3.20 / 1M | $4.25 / 1M | $22.40 / 1M | $1.20 / 1M |
| Cache Write (5m) | $0.45 / 1M | $1.25 / 1M | $5.60 / 1M | $0.30 / 1M |
| Cache Write (1h) | $0.45 / 1M | $1.25 / 1M | $5.60 / 1M | $0.30 / 1M |
| Cache Read | $0.45 / 1M | $1.25 / 1M | $5.60 / 1M | $0.30 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 262K | 1M | 163.8K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Alibaba | Meta | DeepSeek | DeepSeek |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments. | Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows. | — | DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion. |